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Control of a simulated arm using a novel combination of Cerebellar learning mechanismsWe present a model of cerebellar cortex that combines two types of learning: feedforward predicitve association based on local Hebbian-type learning between granule cell ascending branch and parallel fiber inputs, and reinforcement learning with feedback error correction based on climbing fiber activity.
Document ID
20060030669
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Assad, C.
Hartmann, M.
Paulin, M. G.
Date Acquired
August 23, 2013
Publication Date
June 30, 2001
Distribution Limits
Public
Copyright
Other
Keywords
cerebellum cerebellar learning dynamic state estimation sensorimotor control

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